Intersection vehicle positioning method and system based on multiple view angles and re-identification
A vehicle positioning and re-identification technology, applied in the field of vehicle positioning, can solve the problem of high cost of multi-beam lidar, and achieve the effect of helping promotion and avoiding costs
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Embodiment 1
[0061] like figure 1 As shown, Embodiment 1 of the present invention proposes a method for locating vehicles at intersections based on multi-view and re-identification, figure 2 It is the overall model structure diagram, and the specific implementation steps are as follows:
[0062] Step 1) The roadside equipment preprocesses the raw data of the multi-view camera, including operations such as whitening and denoising;
[0063] Step 2) The roadside equipment performs feature extraction on multi-view images, including: using ResNet50 as the backbone network, and introducing the design of "bottleneck design", in order to reduce the calculation time, two 3 × 3 convolutions are replaced by 1 ×1+3×3+1×1 convolutional layers; in order to obtain a lightweight feature extraction model, the number of channels is reduced from 256 to 64 through the first 1×1 convolutional layer, and then 1×1 1 for convolution recovery.
[0064] Step 3) Feature projection and feature fusion: specificall...
Embodiment 2
[0080] Embodiment 2 of the present invention proposes an intersection vehicle positioning system based on multi-view and re-identification. The system is set in a drive test device and includes a preprocessing module, a bird's-eye view generation module, a search domain generation module, a re-identification module and a positioning module , a positioning sending module and a vehicle detection model, where,
[0081] The preprocessing module is used to preprocess the original image of the intersection collected by the multi-view camera;
[0082] The bird's-eye view generation module is used to sequentially perform feature extraction, perspective transformation and aggregation on the preprocessed view images to generate a bird's-eye view of the distribution of vehicles at the intersection;
[0083] The search domain generation module is used to input the original image of the intersection into the pre-established and trained vehicle detection model to obtain the search domain of...
Embodiment 3
[0088] Embodiment 3 of the present invention may further provide a computer device, comprising: at least one processor, a memory, at least one network interface and a user interface. The various components in the device are coupled together by a bus system. It can be understood that the bus system is used to realize the connection communication between these components. In addition to the data bus, the bus system also includes a power bus, a control bus and a status signal bus.
[0089] Among other things, the user interface may include a display, a keyboard, or a pointing device (eg, a mouse, a trackball, a touch pad or a touch screen, etc.).
[0090] It can be understood that the memory in the embodiments disclosed in the present application may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. Wherein, the non-volatile memory may be Read-Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only ...
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